Apache Spark VS Pytorch

Compare Apache Spark vs Pytorch and see what are their differences.

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)


Tensors and Dynamic neural networks in Python with strong GPU acceleration (by pytorch)
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Apache Spark Pytorch
101 335
38,320 77,783
1.1% 2.1%
10.0 10.0
3 days ago about 1 hour ago
Scala Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.


Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.

What are some alternatives?

When comparing Apache Spark and Pytorch you can also consider the following projects:

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

Scalding - A Scala API for Cascading

flax - Flax is a neural network library for JAX that is designed for flexibility.

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java